Optimization and Discovery for Complex Systems

for discovery and optimization

Exponentially efficient experimentation

With PDT, huge experimental campaigns become feasible, even if you
are on a budget. PDT will intelligently leverage your experimental
data to show you an extremely quick, cost-effective path to the result
you desire.

Automated complex decisions

PDT uses state-of-the-art machine learning techniques to
close the experimental loop by building
predictive models from your experimental data, and delivering new
experiments that are most likely to give improved results. All
completely automatically.

Fast, advanced data science on demand

Years of development and experience in the use of data science for
design of experiments are now promptly available through PDT's
easy-to-use web interface. This means you don't need to be a data
science expert, and you don't need to hire one.

Design of Experiments Meets Artificial Intelligence

Conventional design of experiments approaches are
limited to exploration of just a few parameters; PDT has proven
success for experimental spaces comprised of up to 20 parameters, where
there are far too many experiments to explore exhaustively. PDT
brings artificial intelligence to science, using advanced
machine-learning techniques to build models that predict new
experiments that have highest probability of yielding desired
results. PDT opens the door to a new universe of results for all modern
high-throughput and medium-throughput experimental platforms, by building a sequence of
predictive models for successive generations of experiments.

Our methods are applicable in a wide range of
applications, from exploration of complex biotech experiments, to
discovery of new materials and catalysts, to optimization of
production processes. Click the images below to learn more.
Peer-reviewed articles describing successful
applications of PDT are available in the Documentation tab above.

Biotechnology

Materials

Industrial Processes

PDT for Biotechnology

State-of-the-art laboratories now have robotic tremendous high-throughput experimental capabilities, but that require sophisticated programming and control to realize their potential. When your experiments are complex (several experimental parameters with possible nonlinear interactions among them), the problem of experimental design becomes exponentially hard. ProtoLife's Predictive Design Technology will allow you to fully leverage your high-throughput experimental capabilities by coupling them to our machine-learning algorithms.

PDT for Materials Discovery

Whether producing plastics or catalysts, complex industrial chemistry often requires specification of several constituents and process parameters. When these parameters interact with each other in strong, nonlinear, unpredictable ways, high-throughput exploration is the primary route to discovery. Experiments can be quite expensive, so it is of paramount importance to leverage them in the discovery process, as allowed by ProtoLife's Predictive Design Technology.

PDT for Idustrial Process Optimization

Industrial process optimization typically requires a choice of many parameters that have a strong outcome on the end product, and furthermore interact with each other strongly and in unpredictable ways. ProtoLife's multi-objective Predictive Design Technology allows you to realize the full potential of your process, minimizing costs and maximizing efficiency.

We are proud to present a web interface to PDT,
simple to use, but extremely powerful, with parallel computations spawned
in the cloud, working to predict the quickest path to your optimal target.